Unusual activity detection for video surveillance. - Rajat Singh; Sarvesh Vishwakarma; Anupam Agrawal; M. D. Tiwari (IITM, 2010)

Sentiment Analysis of Code-Mixed Languages Leveraging Resource Rich Languages. - Nurendra Choudhary; Rajat Singh; Ishita Bindlish; Manish Shrivastava 001 (CICLing (2), 2018)

Emotions Are Universal: Learning Sentiment Based Representations of Resource-Poor Languages Using Siamese Networks. - Nurendra Choudhary; Rajat Singh; Ishita Bindlish; Manish Shrivastava 001 (CICLing (2), 2018)

Contrastive Learning of Emoji-Based Representations for Resource-Poor Languages. - Nurendra Choudhary; Rajat Singh; Ishita Bindlish; Manish Shrivastava 001 (CICLing (2), 2018)

Neural Network Architecture for Credibility Assessment of Textual Claims (Best Paper Award, First Place). - Nurendra Choudhary; Rajat Singh; Ishita Bindlish; Manish Shrivastava 001 (CICLing (2), 2018)

Automatic Normalization of Word Variations in Code-Mixed Social Media Text. - Rajat Singh; Nurendra Choudhary; Manish Shrivastava 001 (CICLing (1), 2018)

Twitter corpus of Resource-Scarce Languages for Sentiment Analysis and Multilingual Emoji Prediction. - Nurendra Choudhary; Rajat Singh; Vijjini Anvesh Rao; Manish Shrivastava 001 (COLING, 2018)

A Hybrid Model for Music Genre Classification Using LSTM and SVM. - Prasenjeet Fulzele; Rajat Singh; Naman Kaushik; Kavita Pandey (IC3, 2018)

Neural Network Architecture for Credibility Assessment of Textual Claims. - Rajat Singh; Nurendra Choudhary; Ishita Bindlish; Manish Shrivastava 001 (CoRR, 2018)

Cross-Lingual Task-Specific Representation Learning for Text Classification in Resource Poor Languages. - Nurendra Choudhary; Rajat Singh; Manish Shrivastava 001 (CoRR, 2018)

Predicting and Preventing Fatal Crashes. - Kavita Pandey; Prasenjeet Fulzele; Rajat Singh; Prasant Kumar; Saransh Singh (IC3, 2019)

A Survey of Knowledge Graph Embedding and Their Applications. - Shivani Choudhary; Tarun Luthra; Ashima Mittal; Rajat Singh (CoRR, 2021)

Teaching Old DB Neu(ral) Tricks: Learning Embeddings on Multi-tabular Databases. - Garima Gaur; Rajat Singh; Siddhant Arora; Vinayak Gupta; Srikanta Bedathur (COMAD/CODS, 2023)

VaxiBERT: A BERT-Based Classifier for Vaccine Tweets with Multi-Label Annotations. - Rajat Singh; Shivangi Bithel; Samidha Verma; Prachi (FIRE (Working Notes), 2023)

Internet of Things and Blockchain Data Supplier for Intelligent Applications. - Arhath Kumar; Monika Saxena; R. V. L. S. N. Sastry; Ankur Chaudhari; Rajat Singh; V. Malathy (IC3I, 2023)

Embeddings for Tabular Data: A Survey. - Rajat Singh; Srikanta Bedathur (CoRR, 2023)

Tab2Graph: Transforming Heterogeneous Tables as Graphs. - Rajat Singh; Raajita Bhamidipaty; Anjali Sharma; Srikanta Bedathur (AIMLSystems, 2024)

Exploring the Use of LLMs for SQL Equivalence Checking. - Rajat Singh; Srikanta Bedathur (CoRR, 2024)